Position Details
About this role
Senior software development engineer on Amazon Stores Foundational AI (SFAI) team, building foundational LLM capabilities that fuse general knowledge with Amazon's e-commerce domain knowledge to power conversational, personalized shopping experiences.
Key Responsibilities
- Design and optimize high-performance kernels and low-level acceleration techniques
- Drive memory management, parallel computing, kernel fusion, attention optimization, and matrix multiplication efficiency
- Partner with scientists, engineering teams and product managers to define requirements, support experimentation, and deliver production-ready systems
- Move quickly in ambiguous environments and deliver incrementally across technologies from distributed data processing to ML infrastructure
- Develop tooling to accelerate experimentation and generate insights across model quality, latency, throughput, and efficiency metrics
Technical Overview
Hands-on development of high-performance kernels and ML infrastructure for LLM training/inference, focusing on memory management, kernel fusion, attention optimization, and throughput. Collaborates with scientists and product teams to deliver production-ready AI systems using CUDA, TensorRT, PyTorch, and related tools.
Ideal Candidate
The ideal candidate is a senior software engineer with 5+ years of backend software development experience, deep expertise in ML/LLM systems, and hands-on work with CUDA kernels and ML frameworks. They should have mentoring experience and a proven track record of designing scalable, production-ready systems for high-throughput AI workloads.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree not specified or not aligned with CS/Eng, Lack of ML/NLP/DL/CV/RL experience, No demonstrated leadership/mentoring experience
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